lu-group / deeponet-fnoLinks
A comprehensive and fair comparison of two neural operators (with practical extensions) based on FAIR data
☆329Updated 2 years ago
Alternatives and similar repositories for deeponet-fno
Users that are interested in deeponet-fno are comparing it to the libraries listed below
Sorting:
- ☆366Updated 2 years ago
- ☆490Updated 6 months ago
- Codebase for PINNacle: A Comprehensive Benchmark of Physics-Informed Neural Networks for Solving PDEs.☆360Updated last year
- Implementation of the paper "Self-Adaptive Physics-Informed Neural Networks using a Soft Attention Mechanism" [AAAI-MLPS 2021]☆254Updated 4 years ago
- Geometry-Aware Fourier Neural Operator (Geo-FNO)☆279Updated 4 months ago
- ☆178Updated last year
- ☆165Updated last year
- A comprehensive study of non-adaptive and residual-based adaptive sampling for physics-informed neural networks☆90Updated 3 years ago
- ☆226Updated 4 years ago
- Fourier_neural_operator☆16Updated 2 years ago
- ☆152Updated 3 years ago
- A pytorch implementaion of physics informed neural networks for two dimensional NS equation☆173Updated last year
- Simple PyTorch Implementation of Physics Informed Neural Network (PINN)☆337Updated last year
- Characterizing possible failure modes in physics-informed neural networks.☆143Updated 3 years ago
- ☆65Updated 2 years ago
- Extended Physics-Informed Neural Networks (XPINNs): A Generalized Space-Time Domain Decomposition Based Deep Learning Framework for Nonli…☆216Updated 2 years ago
- PINN (Physics-Informed Neural Networks) on Navier-Stokes Equations☆118Updated 2 years ago
- Physics-informed convolutional-recurrent neural networks for solving spatiotemporal PDEs☆161Updated last year
- Learning nonlinear operators via DeepONet☆703Updated 3 years ago
- Here I will try to implement the solution of PDEs using PINN on pytorch for educational purpose☆52Updated 2 years ago
- A large-scale benchmark for machine learning methods in fluid dynamics☆234Updated this week
- A place to share problems solved with SciANN☆292Updated last year
- Tutorials on deep learning, Python, and dissipative particle dynamics☆199Updated 3 years ago
- PINN in solving Navier–Stokes equation☆113Updated 5 years ago
- Using Physics-Informed Deep Learning (PIDL) techniques (W-PINNs-DE & W-PINNs) to solve forward and inverse hydrodynamic shock-tube proble…☆195Updated 2 years ago
- physics-informed neural network for elastodynamics problem☆151Updated 3 years ago
- ☆365Updated last month
- Physics-informed neural network for solving fluid dynamics problems☆250Updated 4 years ago
- Physics informed neural network (PINN) for cavity flow governed by Navier-Stokes equation.☆152Updated 5 years ago
- This is the code of my master thesis.☆154Updated 6 months ago